Last updated
March 16, 2026
MCP profile
ComfyUI Builder
ComfyUI MCP server: knowledge base, workflow builder, real-time execution, models, plugins.
Content & MediaPackageJavaScript/TypeScriptOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
ComfyUI MCP server: knowledge base, workflow builder, real-time execution, models, plugins. This MCP server enables AI assistants like Claude to seamlessly interact with ComfyUI Builder, providing structured access to its functionality through the Model Context Protocol (MCP).
Key Capabilities:
- Integrate with AI models and services
- Manage prompts and model interactions
- Process and analyze AI-generated content
- Orchestrate multi-agent workflows
Common Use Cases:
- Building AI-powered applications
- Multi-model experimentation and comparison
- AI agent orchestration and management
- Prompt engineering and optimization
How It Works: ComfyUI Builder integrates with AI coding assistants and chat interfaces through the standardized MCP protocol. Once configured, your AI assistant can directly invoke ComfyUI Builder's tools, enabling natural language interaction with its features without manual API calls or custom integrations.
Technical Details: Server type: Package · Language: JavaScript/TypeScript
Capabilities
list_node_types, get_node_info, check_compatibility, suggest_nodesdiscover_nodes_live, search_nodes, sync_nodes_to_knowledgecreate_workflow, add_node, connect_nodes, validate_workflowBuild workflows programmatically without JSON manipulationlist_templates, build_workflow — Pre-built templates (txt2img, img2img, inpainting, upscale, LoRA, ControlNet, batch)create_template, apply_template — Parameterized templateslist_macros, insert_macro — Reusable sub-workflowsexecute_workflow_sync — Execute with WebSocket progress streaming (sub-second updates)execute_workflow_stream — Full event history collection (WebSocket-only)get_execution_progress — Real-time progress with node-level granularityexecute_batch — Concurrent execution with 90% reduced network trafficexecute_chain — Sequential workflows with data passing
Tools & Endpoints
Example Workflow
1. Build (postbuild fills knowledge from seed)
2. Use knowledge in code
Why Use ComfyUI Builder?
- list_node_types, get_node_info, check_compatibility, suggest_nodes
- discover_nodes_live, search_nodes, sync_nodes_to_knowledge
- create_workflow, add_node, connect_nodes, validate_workflow
- Build workflows programmatically without JSON manipulation
- list_templates, build_workflow — Pre-built templates (txt2img, img2img, inpainting, upscale, LoRA, ControlNet, batch)
- create_template, apply_template — Parameterized templates
- list_macros, insert_macro — Reusable sub-workflows
- execute_workflow_sync — Execute with WebSocket progress streaming (sub-second updates)
- execute_workflow_stream — Full event history collection (WebSocket-only)
- get_execution_progress — Real-time progress with node-level granularity
- execute_batch — Concurrent execution with 90% reduced network traffic
- execute_chain — Sequential workflows with data passing
Specifications
Status
live
Industry
Content & Media
Category
General
Server type
Package
Language
JavaScript/TypeScript
License
Open Source
Verified
Yes
Requirements
- • Node.js 18+
Hosting
Hosting Options
- Package
API
Integrate this server into your application. Choose a connection method below.
1
Install
Install command
JavaScript/TypeScript
npm install mcp-comfy-ui-builder2
Configure
Configuration
json
{
"mcpServers": {
"comfy-ui-builder": {
"command": "node",
"args": ["/ABSOLUTE/PATH/TO/mcp-comfy-ui-builder/dist/mcp-server.js"]
}
}
}Performance
Usage
Quick Reference
- Name
- ComfyUI Builder
- Function
- ComfyUI MCP server: knowledge base, workflow builder, real-time execution, models, plugins.
- Transport
- Package
- Language
- JavaScript/TypeScript
- Install
- npm install mcp-comfy-ui-builder
- Source
- External (Registry)
- License
- Open Source
Get started
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